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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F22]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • vup_s8a2_expenditure.dta
  • vup_s8a3_expenditure.dta
  • vup_s8b_expenditure.dta
  • vup_s8c_farming.dta
  • vup_s9a_transfers_out.dta
  • vup_s9b_transfers_in.dta
  • vup_s9c_vup
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

Total value of food sent over last 12 months (s9aq10)

Data file: vup_s9a_transfers_out.dta

Overview

Valid: 11009
Invalid: 2131
Type: Discrete
Decimal: 0
Start: 53
End: 61
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No value 0
0%
50 9
0.1%
60 1
0%
80 1
0%
100 109
1%
110 1
0%
120 1
0%
140 1
0%
150 52
0.5%
170 1
0%
180 1
0%
200 283
2.6%
210 1
0%
240 1
0%
250 47
0.4%
270 3
0%
300 409
3.7%
320 3
0%
340 1
0%
350 22
0.2%
360 1
0%
370 2
0%
380 2
0%
390 1
0%
400 406
3.7%
420 2
0%
440 2
0%
450 50
0.5%
460 2
0%
470 1
0%
480 7
0.1%
500 888
8.1%
510 1
0%
520 1
0%
525 4
0%
540 3
0%
550 8
0.1%
590 1
0%
600 529
4.8%
610 1
0%
650 12
0.1%
690 1
0%
700 318
2.9%
720 3
0%
740 1
0%
750 69
0.6%
760 2
0%
790 1
0%
800 441
4%
820 1
0%
850 9
0.1%
860 1
0%
880 1
0%
900 160
1.5%
920 4
0%
950 7
0.1%
960 2
0%
975 1
0%
1000 1320
12%
1050 19
0.2%
1080 2
0%
1100 51
0.5%
1110 1
0%
1120 1
0%
1125 1
0%
1140 2
0%
1150 6
0.1%
1160 1
0%
1180 1
0%
1200 399
3.6%
1250 28
0.3%
1260 2
0%
1300 74
0.7%
1320 1
0%
1340 1
0%
1350 15
0.1%
1360 1
0%
1380 1
0%
1400 104
0.9%
1450 1
0%
1500 663
6%
1540 4
0%
1550 4
0%
1580 1
0%
1595 1
0%
1600 120
1.1%
1650 5
0%
1660 1
0%
1700 72
0.7%
1740 1
0%
1750 18
0.2%
1780 1
0%
1800 129
1.2%
1820 1
0%
1850 7
0.1%
1870 1
0%
1880 1
0%
1900 27
0.2%
1920 1
0%
1950 5
0%
2000 827
7.5%
2100 58
0.5%
2150 4
0%
2160 1
0%
2200 31
0.3%
2250 17
0.2%
2300 24
0.2%
2350 1
0%
2400 54
0.5%
2440 1
0%
2450 4
0%
2500 205
1.9%
2520 1
0%
2550 2
0%
2600 23
0.2%
2650 3
0%
2695 1
0%
2700 25
0.2%
2750 5
0%
2800 29
0.3%
2850 2
0%
2900 9
0.1%
3000 524
4.8%
3070 1
0%
3100 11
0.1%
3150 1
0%
3200 29
0.3%
3240 1
0%
3250 4
0%
3300 7
0.1%
3350 3
0%
3400 15
0.1%
3410 1
0%
3450 3
0%
3460 1
0%
3500 105
1%
3550 3
0%
3600 19
0.2%
3650 1
0%
3700 12
0.1%
3750 5
0%
3800 16
0.1%
3850 2
0%
3900 4
0%
3940 1
0%
3950 1
0%
4000 274
2.5%
4050 1
0%
4100 4
0%
4200 20
0.2%
4250 4
0%
4300 7
0.1%
4350 1
0%
4400 5
0%
4500 64
0.6%
4550 2
0%
4560 1
0%
4600 7
0.1%
4700 2
0%
4750 2
0%
4800 17
0.2%
4850 1
0%
4900 3
0%
4950 2
0%
5000 322
2.9%
5100 2
0%
5200 6
0.1%
5300 6
0.1%
5350 1
0%
5400 4
0%
5500 19
0.2%
5550 2
0%
5600 9
0.1%
5650 1
0%
5700 2
0%
5750 1
0%
5790 1
0%
5800 3
0%
5900 3
0%
6000 137
1.2%
6020 1
0%
6100 4
0%
6200 8
0.1%
6250 1
0%
6300 6
0.1%
6350 1
0%
6360 1
0%
6400 6
0.1%
6500 27
0.2%
6520 1
0%
6600 1
0%
6650 1
0%
6700 3
0%
6750 1
0%
6800 5
0%
7000 96
0.9%
7100 1
0%
7150 1
0%
7200 8
0.1%
7300 3
0%
7400 3
0%
7500 19
0.2%
7600 3
0%
7700 2
0%
7800 4
0%
7900 1
0%
8000 72
0.7%
8100 1
0%
8300 4
0%
8400 3
0%
8430 1
0%
8500 14
0.1%
8600 3
0%
8700 2
0%
8750 1
0%
8880 1
0%
8900 1
0%
8920 1
0%
8950 1
0%
9000 29
0.3%
9100 1
0%
9200 1
0%
9300 1
0%
9450 1
0%
9500 4
0%
9600 6
0.1%
9700 2
0%
9750 1
0%
9800 1
0%
9900 1
0%
10000 123
1.1%
10100 2
0%
10400 1
0%
10500 4
0%
10600 1
0%
10750 1
0%
10800 3
0%
10900 1
0%
10950 1
0%
11000 6
0.1%
11100 1
0%
11200 1
0%
11300 1
0%
11400 1
0%
11440 1
0%
11500 6
0.1%
11600 2
0%
11700 1
0%
11850 1
0%
12000 42
0.4%
12300 2
0%
12500 5
0%
12600 2
0%
12700 1
0%
13000 10
0.1%
13100 2
0%
13200 3
0%
13300 1
0%
13500 2
0%
13600 1
0%
14000 7
0.1%
14400 3
0%
14500 2
0%
14600 1
0%
15000 69
0.6%
15200 1
0%
15400 2
0%
15600 1
0%
15700 1
0%
15800 1
0%
16000 7
0.1%
16500 3
0%
16600 2
0%
16700 1
0%
16750 1
0%
17000 7
0.1%
17100 2
0%
17200 1
0%
17400 1
0%
17500 1
0%
17900 2
0%
18000 14
0.1%
18300 1
0%
18400 1
0%
18500 2
0%
18600 1
0%
18900 2
0%
19000 2
0%
19350 1
0%
19400 1
0%
19500 2
0%
19550 1
0%
19600 1
0%
19800 1
0%
20000 52
0.5%
20100 1
0%
20300 1
0%
20500 1
0%
20600 1
0%
21000 3
0%
22000 4
0%
22500 1
0%
23000 6
0.1%
23600 1
0%
24000 4
0%
24500 1
0%
25000 18
0.2%
25200 1
0%
25500 1
0%
26100 1
0%
26200 2
0%
26600 1
0%
27000 1
0%
28000 5
0%
28800 1
0%
29200 2
0%
29700 1
0%
30000 31
0.3%
30250 5
0%
30700 1
0%
32000 2
0%
32400 3
0%
33000 1
0%
33100 1
0%
33500 1
0%
33600 1
0%
34500 3
0%
35000 8
0.1%
35200 1
0%
35460 1
0%
35800 1
0%
36000 4
0%
37000 1
0%
38800 1
0%
39850 1
0%
40000 13
0.1%
41000 1
0%
42000 1
0%
42300 1
0%
42400 1
0%
44000 1
0%
44350 1
0%
45000 5
0%
45800 1
0%
48000 4
0%
49000 1
0%
50000 8
0.1%
52000 1
0%
53100 1
0%
54000 1
0%
60000 7
0.1%
67200 2
0%
67500 1
0%
70000 3
0%
70400 1
0%
72000 5
0%
84000 1
0%
85000 1
0%
96000 1
0%
100000 3
0%
120000 2
0%
124000 1
0%
144000 1
0%
150000 2
0%
240000 1
0%
260000 1
0%
363150 1
0%
999999999 Missing 0
0%
Sysmiss 2131
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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